iPhone17,1
Geekbench AI Score
4666
Single Precision Score
29923
Half Precision Score
38635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
15162
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20063
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14586
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18204
295.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9883
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153833
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
212685
249.3 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
15850
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21682
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
39663
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
53387
634.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8175
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94476
727.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
148052
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
24949
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
157688
202.7 IPS |
|
|
Style Transfer (Q)
|
96% |
178241
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48914
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
71750
2.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9102
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10729
185.4 IPS |
